Solution Engineer Lead

Bank of America

Town of Charlotte (NY)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Job summary

Bank of America is seeking a Hadoop Engineer (SME) to lead end-to-end Big Data platform initiatives. The role focuses on designing scalable architectures, cluster administration, and performance tuning across a Cloudera ecosystem with exposure to OpenShift and containerized deployments.

You will mentor engineers, participate in COPs, and collaborate with product and infrastructure teams to deliver robust data solutions for enterprise workloads.

Qualifications

9+ years experience with Hadoop, Kafka, Spark, Impala, Hive, Hbase.
Strong knowledge of Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator’s role.
Intimate knowledge of fully integrated AD/Kerberos authentication.
Experience setting up optimum cluster configurations.
Debugging knowledge of YARN.
Hands-on with analyzing Hadoop log files, compression, encoding, & file formats.
Expert knowledge of Cloudera Hadoop components: HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper, Postgres.
Strong technical knowledge: Unix/Linux; Database (Sybase/SQL/Oracle), Java, Python, Perl, Shell scripting, Infrastructure.
Experience in Monitoring & Alerting, and Job Scheduling Systems.
Being comfortable with frequent, incremental code testing and deployment.
Strong grasp of automation / DevOps tools – Ansible,Jenkins, SVN, Bitbucket.

Responsibilities

Ensures alignment with product strategy by working with product management and stakeholders.
Mentors and guides engineers on performance evaluation and validation methods and tools.
Participates in solution-driven discussions and architectures, finding creative domain solutions.
Collaborates with Development and Infrastructure teams to understand solutions and performance needs.
Works on complex tasks across multiple projects requiring diverse expertise.
Provide SME guidance in Hadoop and Data Science Platform operations (Cloudera, Jupyter, OpenShift, Docker).
Manage platform operations across environments including upgrades, deployments, monitoring, DR, incidents and capacity management.
Liaises between client partners and vendors to address user needs with technical solutions.

Skills

Hadoop ecosystem

Hadoop cluster

YARN

Unix/Linux

Java

Python

DevOps

Automation

Troubleshooting

Tools

Cloudera Hadoop

OpenShift

Docker

Ansible

Jenkins

Postgres

Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

This job is responsible for defining and leading the engineering approach across end-to-end technology stacks. Key responsibilities include leading teams to deliver design solutions, engaging in development environments to identify and improve performance/capacity issues, and ensuring system design solutions comply with enterprise standards. Job expectations include demonstrating technical expertise within domains, decomposing objectives into work units, advancing efficient solution delivery practices, and promoting exceptional design, engineering and organizational practices.

Hadoop Engineer (SME) role supporting NextGen Platforms built around Big Data Technologies (Hadoop,Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more). Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, Databricks, Snowflake, Talend, Greenfield, ELK, KPMG Ignite etc. Hadoop Engineer is involved in the full life cycle of an application and part of an agile development process. They require the ability to interact, develop, engineer, and communicate collaboratively at the highest technical levels with clients, development teams, vendors, and other partners.

Responsibilities:

Ensures that execution aligns with product strategy by working with product management, product owners, and other stakeholders, contributing to the technology strategy for their technical domain
Mentors and guides Solution Engineer resources and more junior engineers on performance evaluation and validation methods and tools ensuring system design technology solutions comply with enterprise system design and engineering standards
Participates in solution-driven discussions, such as various Communities of Practice (COPs), contributes to the design of large or highly complex architectural designs, and finds creative solutions through their knowledge of the domain and operational constraints
Collaborates with Development and Infrastructure teams to understand technical solutions and provide the performance capabilities required in the application across the technology stacks provided by peer Engineering Leads
Works on complex, major or highly visible tasks in support of multiple projects that require multiple areas of expertise
Team member will be expected to provide subject matter expertise in managing Hadoop and Data Science Platform operations with focus around Cloudera Hadoop, Jupyter Notebook, OpenShift, Docker-Container Cluster Management and Administration
Integrates solutions with other applications and platforms outside the framework - He / She will be responsible for managing platform operations across all environments which includes upgrades, bug fixes, deployments, metrics / monitoring for resolution and forecasting, disaster recovery, incident /problem / capacity management
Serves as a liaison between client partners and vendors in coordination with project managers to provide technical solutions that address user needs

Required Qualifications:

9+ years experience with Hadoop, Kafka, Spark, Impala, Hive, Hbase
Strong knowledge of Hadoop Architecture, HDFS, Hadoop Cluster and Hadoop Administrator’s role
Intimate knowledge of fully integrated AD/Kerberos authentication
Experience setting up optimum cluster configurations
Debugging knowledge of YARN.
Hands-on with analyzing various Hadoop log files, compression, encoding, & file formats
Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka,Impala, SOLR, Hue, Spark, Hive, YARN, Zookeeper and Postgres
Strong technical knowledge: Unix/Linux; Database (Sybase/SQL/Oracle), Java, Python, Perl, Shell scripting, Infrastructure
Experience in Monitoring & Alerting, and Job Scheduling Systems
Being comfortable with frequent, incremental code testing and deployment
Strong grasp of automation / DevOps tools – Ansible,Jenkins, SVN, Bitbucket